TIGS (Tumor Immunogenicity Score) project https://doi.org/10.7554/eLife.49020
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Updated
Sep 16, 2021 - R
TIGS (Tumor Immunogenicity Score) project https://doi.org/10.7554/eLife.49020
pTuneos: prioritizing Tumor neoantigen from next-generation sequencing data
IRIS: Isoform peptides from RNA splicing for Immunotherapy target Screening
Multifactorial modeling of response to checkpoint inhibitor immunotherapy from tumor, immune, and clinical features
MSIsensor-RNA: Microsatellite instability detection using RNA sequencing data
Discrete Event Simulation | Queue Modeling | Bayesian Optimization | Full Factorial Design. "Design and Operation of Individualized Single-use Systems: Car-T Cell Therapy". Modeling Single-use systems using stochastic optimization techniques.
A poster showing TIGS project at BioForum2019, ShanghaiTech University
Analysis of single-cell RNA-seq data from patients with immunotherapy-related colitis.
Pan-cancer quantification of neoantigen-mediated immunoediting in cancer evolution
Code and data to support doi:10.1136/jitc-2020-001506
A machine learning based method for predicting, scanning and mapping allergenic regions in an allergen
Modeling Tumor Escape Mechanisms for DC-Based Immunotherapy
Analysis associated with the publication, "Change in neutrophil to lymphocyte ratio during immunotherapy treatment is a non-linear predictor of patient outcomes in advanced cancers" DOI : 10.1007/s00432-019-02982-4
Prediction of interferon-gamma inducing peptides using alignment-based and alignment-free methods
Files and code used to generate the CARTAR app to identify and validate CAR targets for cancer treatment.
Graph analytics for immunotherapeutic response prediction for metastatic melanoma patients
T-cell receptor specificity prediction using Deep Learning
An example of immunopipe
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